Designing an Integrated Model of Artificial Intelligence Governance in the Educational System: An Analysis of Policy Gaps and Implementation Drivers

Document Type : Research Paper

Authors
Meisam Jamalzadeh 1
Ali Mohammad Ahmadi Gharacheh 2
1 Department of Management, Payame Noor University, Tehran, Iran
2 Assistant professor, Department of psychology and educational sciences, payame Noor university Tehran, Iran
10.30497/smt.2026.250481.3735
Abstract
Abstract

Artificial intelligence has confronted educational systems with unprecedented opportunities and challenges. The present study aimed to design a comprehensive model of artificial intelligence governance in the educational system, with an emphasis on policy gaps and implementation drivers. This research was conducted using a qualitative approach and the meta-synthesis method of Sandelowski and Barroso (2007). The study population included scientific documents, international policy reports, and research articles published between 2020 and 2025. Purposeful and snowball sampling was employed, and 42 documents were finally selected for analysis. Data were analyzed using thematic analysis and MAXQDA 2022 software. The findings were presented in three sections: a seven-policy-domain model with 23 components, seven key policy gaps, and implementation drivers at three levels (individual, organizational, and supra-organizational). The results indicate that successful establishment of AI governance requires a multi-level model centered on educational justice, algorithmic transparency, and collective accountability.

Keywords: Artificial Intelligence Governance, Educational System, Meta-Synthesis, Policy Gap, Implementation Drivers, Educational Justice
Keywords
Artificial Intelligence Governance
Educational System
Meta-Synthesis
Policy Gap
Implementation Drivers
Educational Justice
Subjects

  • Receive Date 05 June 2026
  • Revise Date 18 July 2026
  • Accept Date 26 July 2026